Deep Learning Model Collect

1. DL_tutorial

2021 Fall semester Seoul National University DL homework

• Making model tutorial

2. DL_Unet

2021 Fall semester Seoul National University DL homework

• Basical Unet Model

• Upgrade of basical model

3. Plant_Seeding

2022 Spring Semester Peking University CVLD homework

• Dataset and Description below
  
  

• [ kaggle ] (https://www.kaggle.com/competitions/plant-seedlings-classification)

3.1. Traditional Method

How to run

python3 main.py --feature HOG --kernel rbf

[Model]
1. SIFT
2. HOG

[Classifier]
1. SVM(Linear, Gaussian)
2. K-means clustering

3.2. Deep Learning Method

How to run

python3 main.py --net unet

[Model]
1. Resnet50
2. VGG16
3. SimpleNet
4. Unet

[Optimizer]
1. Adam
2. SGD
3. Adamgrad

[Augmentation]
1. RandomCrop
2. RandomFlip
3. Normalization

[Regularization]
1. Weight decay
2. Dropout

3.3. [Result]

train accuracy : 97.03%
valid accuracy : 79.26%
kaggle test accuracy : 81.17%

[test file upload result in kaggle]